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EN
The time passed in the urgency zone of a hospital is really important, and the quick evaluation and selection of the patients who arrive to this area is essential to avoid waste of time and help the patients in a higher emergency level. The triage, an evaluation and classification structured system, allows to manage the urgency level of the patient; it is based on the vital signs measures and clinical data of the patient. The goal is making the classification in the shortest possible time and with a minimal error percentage. Levels are allocated according to the concept that what is urgent is not always serious and that what is serious is not always urgent. In this work, we present a computational algorithm that evaluates the patients within the fever symptomatic category, we use fuzzy logic and decision trees to collect and analyze simultaneously the vital signs and the clinical data of the patient through a graphical interface; so that the classification can be more intuitive and faster. Fuzzy logic allows us to process data and take a decision based on incomplete information or uncertain values, decision trees are structures or rules sets that classify the data when we have several variables.
EN
With the increasing number of demand for access to education, we need the new technologies to facilitate learning. The good opportunity is to use the Web, which is an enormous and unlimited source of useful and varied kinds of information. Online learning and teaching is becoming more and more popular. Besides the teaching and learning techniques the education environments also consists a communication tool which allows easy publications and syndications the information (news) across the different education Web sites. This paper presents some statistics related to news syndication and the data format used by publishers for news publication. We describe two of the most popular formats currently used to publish and retrieve news information; the HTML non-structured data format and the XML-based RSS-feed format.
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